The degree-related clustering coefficient and its application to link prediction
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- 作者：Yangyang Liu ; Chengli Zhao ; Xiaojie Wang ; Qiangjuan Huang ; Xue Zhang ; Dongyun Yi ; 895355449@qq.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Link prediction ; Complex networks ; Networks evolution ; Clustering coefficient
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2016
- 出版时间：15 July 2016
- 年：2016
- 卷：454
- 期：Complete
- 页码：24-33
- 全文大小：626 K
文摘
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We propose the degree-related clustering coefficient to estimate the cluster ability of nodes.
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The degree-related clustering coefficient exhibits a high robustness in estimating the cluster ability of nodes when the observed bias of links is considered.
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The DCP algorithm is proposed to achieve high accuracy and robustness on link prediction.
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The discussion about parameter setting improves our algorithm’s efficiency.
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The stability analysis shows that our index is stable when measuring node similarity.